50 results about "Risk impact" patented technology

A method, apparatus, and computer instructions for providing a current and complete security compliance view of an enterprise system. The present invention provides the ability to gain a real-time security posture and security compliance view of an enterprise and to assess the risk impact of known threats and attacks to continued business operations at various levels is provided. Responsive to a change to an enterprise environment, a request, or an external threat, an administrator loads or updates at least one of a Critical Application Operations database, a Historical database, an Access Control database, a Connectivity database, and a Threat database. Based on a comparison of information in the databases against similar security data elements from company or external policies, the administrator may generate a Security Compliance view of the enterprise. A Security Posture view may also be generated by comparing the Security Compliance view against data in the Threat database.

A system for providing an analysis of use in managing risk, the system including: a knowledge base, for maintaining generic risk records each including a plurality of different fields; a data store of profiles, for maintaining profile risk records associated with a particular profile, each profile risk record including the same plurality of fields as a generic risk record; and a risk processor, for updating generic risk records based on profile risk records in the data store of profiles. The knowledge base includes generic risk records with field values that can be refined over time so as to be useful in providing a more accurate risk assessment in any particular profile. Some of the risk record fields are measuring fields input by the user, and some are calculated fields calculated by the system, and the system allows different modes of analysis in which the fields that are the measuring fields differ. Also, in some applications, the system can be used in different modes of use, and only some fields, depending on the mode of use, are required. In some such applications, in one mode of use for example, an inherent risk impact cost is aggregated over an inherent cost of each consequence of the risk. A scripting facility is also sometimes provided for enabling a user to create a script directing how a risk management process is to be performed, the script indicating steps that can be used in performing risk analysis in any profile.

A method for using a risk self-assessment tool may include soliciting risk information from a business unit about a process subject to a risk, communicating the risk information to a risk assessment system, and/or performing a risk self-assessment process by selecting one or more parameters for inclusion on one or more user interface templates. The risk assessment system may determine a risk score associated with the process based on the risk information received from the business unit, and communicate the risk score to a user for approval. After approval, the risk self-assessment tool may communicate information about an approved risk management project to a second user, the risk management project including at least one control designed to mitigate a risk identified by the risk assessment system. The method may include creating, via the user interface device, a risk self-assessment questionnaire for soliciting information about a business process subject to risk.

A system and method for determining and managing risk impact of service downtime includes defining a process structure of one or more process types, services the process structure employs and a distribution of the services' time durations. Process usage data is collected for each type of process, and risk is estimated based on penalties and expected deadlines for each process. For a service change and outage of a given length of time, an optimal change window is determined with respect to a minimized impact on the process based on the estimated risk.

The invention relates to a multivariate analysis driving risk assessment system based on people, vehicles, roads and environment. Risk assessment is carried out by using the technical scheme; the driver, the vehicles, the routes, the weather and other parties face data with influence on in-transit safety are collected; the collected information is calculated through the mathematical model to obtain in-transit risk indexes of all aspects; after the unquantized risk factors are quantized, a driver can know the driving state more visually in the driving process, when the quantized risk influencefactors exceed the safety value, the early warning module gives an alarm to achieve the reminding effect, and the in-transit driving risk can be further reduced.

The disclosed technology provides systems and methods that provide investors with a product category allocation based on the investor's preferences regarding asset flexibility and guaranteed income. Whereas existing technologies focus on risk and evaluate how an investor's tolerance for risk impacts particular investment choices, the disclosed technology makes no investment choices when it presents a product category allocation to an investor. The product category allocation is presented to the investor on the basis of the investor's preferences regarding asset flexibility and guaranteed income. The product category allocation includes one or more product categories that guarantee income and one or more flexible asset categories. The disclosed technology also provides a computer executing software, where the executed software causes the computer to provide investors with a product category allocation based on the investor's preferences regarding asset flexibility and guaranteed income.

The invention provides a main distribution power failure plan selection method and device, and relates to the technical field of power distribution management, and the method comprises the steps: determining a maintenance risk impact factor and a maintenance time impact factor; calculating a power failure risk evaluation value according to the maintenance risk influence factor; calculating an association rule of the maintenance time influence factor and the maintenance time, and calculating a power failure time estimation value according to the association rule; calculating an objective function of coordinated operation of the main distribution network according to the power failure risk evaluation value and the power failure time estimation value; calculating the minimum value of the target function; and selecting the power failure plan with the minimum value obtained by the target function from the plurality of power failure plans. The optimal power failure plan can be selected by considering the power failure time and the maintenance risk.

The invention discloses a shipborne packaged goods transportation risk assessment method based on big data fusion. The method comprises the following steps: step 1, constructing a business process chain risk conduction model of shipborne packaged goods transportation risks; step 2, constructing a shipborne packaged cargo transportation online dynamic database; 3, establishing a shipborne packagedgoods risk assessment index system, and constructing a shipborne packaged goods multi-source multi-attribute risk assessment index hierarchical model; 4, calculating the corresponding weight of the shipborne packaged goods risk assessment index system in an expert scoring mode, and carrying out consistency check; step 5, establishing a one-to-one correspondence relationship between specific evaluation standards of the risk evaluation indexes and the risk degrees, and constructing membership functions of the index factors; and step 6, establishing a multi-stage fuzzy risk assessment model, andquantitatively assessing the shipborne packaged cargo transportation risk. According to the quantitative risk assessment method, the risk influence of the whole transportation link is comprehensivelyconsidered, and the method is scientific and accurate; data sources are wide, more scientific and accurate.

The invention discloses an enterprise risk early warning method and device, equipment and a readable storage medium. The method comprises the steps of receiving an early warning instruction; wherein the early warning instruction comprises information of a to-be-warned enterprise; determining a risk conduction path from a node representing the to-be-warned enterprise to each node representing a risk enterprise from a preset enterprise association graph; for one risk conduction path, calculating a risk influence value of a risk enterprise in the risk conduction path on the to-be-warned enterprise according to the node attribute of each node, the edge attribute of each edge and a preset risk conduction model; calculating a risk assessment value of the to-be-warned enterprise according to therisk influence value corresponding to each risk conduction path and a first preset algorithm; judging whether the risk assessment value is greater than a preset threshold value or not, and if so, sending a risk early warning message to a specified terminal; according to the invention, enterprise risk early warning can be carried out more accurately.

The invention discloses a dynamic Bayesian network modeling method based on coal gasification equipment. The method includes: systematically investigating and analyzing Risk influence factors of coalgasification key equipment; accurately identifying process deviation hazard factors based on an analysis result, qualitatively analyzing possible reasons and consequences of deviation, and constructing a static/dynamic fault tree to describe a time sequence and a logic relationship of accident occurrence on the basis of the possible reasons and consequences; converting the fault tree into a dynamic Bayesian network model according to a conversion rule from the static/dynamic logic gate to the dynamic Bayesian network; finally, importing historical information of the preamble event, determininga prior probability of the root node by applying a fuzzy set theory, deriving a posterior accident occurrence probability of the root node by virtue of a powerful reverse reasoning function of the Bayesian network, and sorting, thereby determining a weak link of the system.

A risk parsing device provides risk splitting and loss event diversification for a multi-risk forecast systems capturing multiple loss aggregation under complex environmental conditions based on the occurrence of defined loss events. The loss events are triggered by one or more involved causing units and affected units, wherein the loss events evolve from one or multiple risk accumulating sources. Risk events related loss measures can be scattered over multiple causing units or multiple related clash events. The multi-risk forecast system provides loss-generating processes and events, wherein the inventive risk splitter is a technical core element to generate an event-related loss distribution mirroring cause-effect chains induced by the risk events which extend over space and time. The risk splitter module allows automated splitting of the risk based on risk exposed, causing unit characteristics and risk exposed affected units' characteristics. The causing unit characteristics comprises for each causing unit assigned activity characteristic parameters and participation characteristic parameters of said causing unit defining for a specific causing unit a specific set of executable activity link members and market share driving participation probabilities. The causing unit characteristics comprises quota parameters defining affected populations of affected units with incidence and defining refined effect types.

The invention discloses an impact risk dynamic early warning method based on hierarchical analysis and fuzzy mathematics, and the method comprises the following steps: 1, determining an early warningobject and an impact risk impact factor suitable for the early warning object, i.e., an early warning index; 2, determining the impact risk grade of each early warning index to form an impact risk early warning index system; 3, based on an APH (analytic hierarchy process) theory, determining the weight of each early warning index to form a fuzzy weight vector A; 4, based on a fuzzy mathematical theory, establishing a single-factor fuzzy early warning set of each index, and forming a factor early warning fuzzy matrix R; 5, calculating a fuzzy comprehensive evaluation vector B = A * R of the early warning object; and 6, determining the impact danger level of the early warning object according to the maximum membership principle. According to the method, various rock burst early warning indexes are comprehensively considered, the early warning model is adopted to perform impact risk early warning on the early warning object, the early warning is more scientific, the early warning efficiency is higher, and the result is more reliable.

The invention provides a data leakage protection method based on risk management, and an integrated system. The method is applied to a risk management system and a data leakage protection system, asset inventory data, risk identification data and risk assessment data are obtained through the risk management system, and the risk assessment data comprise quantified asset value, risk occurrence possibility and influence degree generated after risk occurrence; obtaining a risk value according to risk assessment; importing the asset inventory data, the risk identification data and the risk evaluation data into a data leakage protection system; performing adaptation according to the asset value and the risk influence degree to obtain an adaptation result including criticality and sensitivity, and performing grading according to the adaptation result to obtain a grading result including confidential data, secret data, internal data and external data; setting a response strategy for the classification in the asset inventory data according to the grading result; and importing the grading result and the response strategy into the risk management system by the data leakage protection system.According to the method, the efficiency and the risk management and control capability are improved.

The invention discloses a credit risk assessment method. The method comprises the following assessment steps: collecting personal original credit data, preprocessing the original credit data, extracting the data by items, establishing an assessment model, importing dangerous data to realize manual assessment, classifying emphasis and carrying out secondary establishment of the model and obtainingan assessment result through comprehensive information. According to the credit risk assessment method, a modeling risk assessment mode that two subitems are independent is adopted; abnormal unstabledata in the original data can be labeled; meanwhile, the marked abnormal unstable data can be subjected to secondary comprehensive risk assessment processing; a comprehensive and perfect risk assessment effect is realized; and meanwhile, an impact mode of manually importing dangerous data is adopted, so that a risk impact effect can be achieved on the original data model, the anti-risk performanceof the original data is checked, the phenomenon of collapse and fester of the original data model when the original data model is subjected to risk impact is prevented, and the anti-interference performance of credit risk assessment is enhanced.

The invention discloses a pipeline leakage risk assessment method in a comprehensive pipe gallery. The method comprises the following steps: determining a possibility factor of leakage risk occurrenceand an influence factor after the leakage risk occurrence; performing hierarchical division on the risk occurrence possibility and the influence after risk shadow occurrence, and respectively constructing a hierarchical structure 1 of the risk occurrence possibility and a hierarchical structure 2 of the risk influence degree; respectively calculating the comprehensive weight of the possibility factor to the risk possibility L and the comprehensive weight of the influence degree factor to the risk influence degree S by adopting an analytic hierarchy process; respectively calculating a risk possibility L and a risk influence degree S; and performing leakage risk assessment by using the risk possibility and the risk influence degree. The leakage risk mechanism is analyzed, the possibility factor of leakage risk occurrence and the influence degree factor after occurrence are analyzed, basic data needed by the established leakage risk assessment method are easy to obtain, the compatibilitywith an existing pipe gallery safe operation monitoring system is high, and the method is suitable for practical engineering application.

The invention discloses a water conveyance tunnel full life cycle risk influence assessment method and system, and the method comprises the steps: building a risk influence assessment database based on the historical data of a water conveyance tunnel project; obtaining a building information model of the water conveyance tunnel project, and extracting an engineering element set contained in the water conveyance tunnel project from the building information model; calculating a risk influence score value corresponding to each engineering element in the engineering element set based on the risk influence assessment database; and based on the building information model, performing visualization processing on the risk influence score value corresponding to each engineering element. According tothe embodiment of the invention, the building information model is suitable for the risk influence assessment database, and the smooth development of the water conveyance tunnel project can be guaranteed through the visual management of the risk assessment work of the water conveyance tunnel project.

The invention discloses an earth pressure balance shield mud cake formation risk evaluation method, which comprises the steps of 1, determining mud cake formation risk influence factors based on earth pressure balance shield construction historical data; 2, establishing a mud cake risk analysis model according to an analytic hierarchy process; 3, establishing a risk analysis grading scoring standard corresponding to the mud cake formation risk analysis model; 4, determining the weight of each risk influence factor in the mud cake risk analysis model according to the analytic hierarchy process; and 5, based on current data of earth pressure balance shield construction, determining a current mud cake formation risk grade according to each risk influence factor score and the corresponding weight in the mud cake formation risk analysis model. Shield mud cake early warning can be carried out according to actual construction conditions, constructors are allowed to take corresponding measures before early warning nodes, the effect of reducing the shield mud cake possibility is achieved, the shield tunneling efficiency is improved, and the engineering cost is reduced.

The invention discloses an urban dynamic risk index assessment method based on fuzzy analytic hierarchy process, the algorithm relates to the field of operational research subject and the field of urban risk management, and the method comprises the following steps: 1, analyzing urban risk influence factors, establishing an evaluation index system, setting a quantitative standard for the index, establishing an evaluation result, and determining an index set and an evaluation set; 2, grading indexes according to corresponding time dimensions, and forming an evaluation matrix; 3, establishing an evaluation quantitative grading standard; 4, establishing a hierarchical structure model; 5, establishing a fuzzy judgment matrix; 6, solving the weight of the judgment matrix, and carrying out consistency check to calculate a random consistency proportion; 7, calculating an evaluation vector of each index of each level and normalizing the evaluation vector; 8, calculating an evaluation grade. According to the method, a fuzzy analytic hierarchy process and a fuzzy comprehensive evaluation method are combined, and the occurrence frequency of hidden dangers is quantified through a sensor, so a dynamic risk index is obtained.

The invention discloses a method for evaluating the risk influence degree of substation equipment in power grid safety early warning, and the method comprises the steps: carrying out the calculation according to monitoring data, equipment defect and fault information and equipment ledger information, obtaining the equipment importance degree and hidden danger of equipment, and obtaining the risk influence degree of the substation equipment through calculation; when the method is used, comparing the risk influence degree obtained through calculation by adopting the evaluation method with a setthreshold value; when the risk influence degree is smaller than the threshold value, indicating that the substation equipment is in a safe operation state, and when the risk influence degree is greater than the threshold value, indicating that the substation equipment is in a high-risk state, equipment maintenance and safety early warning need to be carried out, so that the purposes of being precautious beforehand are achieved, the failure rate of the equipment can be reduced, and the active sensing capability of monitoring personnel on the real-time operation state of the power grid is improved.

The invention provides a cascade hydropower station coupling risk dynamic identification method, and the method comprises the steps: dividing risk evaluation units according to important regions of interest and functions of a risk-affected hydropower station hub; performing risk census and identification work according to the risk division unit to obtain a risk identification result; according to the risk identification result, adopting a causal chain method, sorting out coupling relations among multiple risk events, and drawing multiple risk coupling topological graphs; establishing a risk ledger of the cascade hydropower station according to the risk coupling topological graph and the risk identification result; calculating a risk event coupling failure probability dynamic state according to the risk ledger; and dynamically establishing a risk real-time evaluation system according to the risk event coupling failure probability. And evaluating the dynamic risk level of each potential risk event in real time according to the result of the risk coupling failure probability dynamic calculation.

The invention discloses a power monitoring system supply chain-oriented risk early warning method and system, and relates to the technical field of data processing, and the method comprises the steps: carrying out the federated learning based on a multi-dimensional system data set, constructing a system analysis model, carrying out the risk analysis of system supply information through the system analysis model, and obtaining first risk information; performing supply chain risk parameter analysis according to the power supply information to obtain a supply risk influence parameter set; performing weight operation on the risk influence parameter set to determine a parameter risk weight; performing risk analysis on the power supply information based on the parameter risk weight to obtain second risk information; and determining a supply chain risk early warning result according to the first and second risk information. The technical problems that the early warning data source dimension of the power monitoring system supply chain is single and the risk early warning effect is poor are solved. The technical effects of carrying out comprehensive risk assessment from multiple dimensions, breaking through the limitation of single-dimension data and improving the accuracy of various risk assessment are achieved.